To find the probability that a randomly chosen customer came for dinner, we first determine the total number of customers who came for dinner. The total number of dinner customers is given by:
\[
\text{Total Dinner Customers} = \text{Dinner Dessert} + \text{Dinner No Dessert} = 45 + 94 = 139
\]
Next, we calculate the probability:
\[
P(\text{Dinner}) = \frac{\text{Total Dinner Customers}}{\text{Total Customers}} = \frac{139}{179} \approx 0.7765
\]
Rounding to the nearest hundredth, we have:
\[
P(\text{Dinner}) \approx 0.78
\]
To find the probability that a customer either came for dinner or ordered dessert, we first calculate the total number of customers who ordered dessert:
\[
\text{Total Dessert Customers} = \text{Lunch Dessert} + \text{Dinner Dessert} = 11 + 45 = 56
\]
Now, we can calculate the individual probabilities:
\[
P(\text{Dinner}) \approx 0.78 \quad \text{(from Step 1)}
\]
\[
P(\text{Dessert}) = \frac{\text{Total Dessert Customers}}{\text{Total Customers}} = \frac{56}{179} \approx 0.3123
\]
Next, we find the probability of both events occurring (i.e., customers who came for dinner and ordered dessert):
\[
P(\text{Dinner and Dessert}) = \frac{\text{Dinner Dessert}}{\text{Total Customers}} = \frac{45}{179} \approx 0.2514
\]
Using the formula for the probability of the union of two events:
\[
P(\text{Dinner or Dessert}) = P(\text{Dinner}) + P(\text{Dessert}) - P(\text{Dinner and Dessert})
\]
Substituting the values:
\[
P(\text{Dinner or Dessert}) \approx 0.78 + 0.3123 - 0.2514 \approx 0.8409
\]
Rounding to the nearest hundredth, we have:
\[
P(\text{Dinner or Dessert}) \approx 0.84
\]
The probabilities are as follows:
- The probability that the customer came for dinner is \( \boxed{0.78} \).
- The probability that the customer came for dinner or ordered dessert is \( \boxed{0.84} \).